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Top stories in February: 10 things statistics taught about big data; Gartner Analytics MQ: gainers and losers


10 things statistics taught us about big data analysis; Data Science's Most Used, Confused, and Abused Jargon; Gartner Analytics MQ: gainers and losers; My Brief Guide to Big Data and Predictive Analytics for non-experts.



Most viewed news items

  1. 10 things statistics taught us about big data analysisloess smoothing - Feb 10, 2015.
  2. Gartner 2015 Magic Quadrant for Advanced Analytics Platforms: who gained and who lost - Feb 23, 2015.
  3. My Brief Guide to Big Data and Predictive Analytics for non-experts - Feb 12, 2015.
  4. Data Science's Most Used, Confused, and Abused Jargon - Feb 10, 2015.
  5. Free Public Datasets - Feb 3, 2011.
  6. Avoiding a Common Mistake with Time Series - Feb 2, 2015.
  7. Top 30 people in Big Data and Analytics - Feb 9, 2015.
  8. (Deep Learning's Deep Flaws)'s Deep Flaws - Jan 26, 2015.
  9. 7 Steps for Learning Data Mining and Data Science - Oct 10, 2013.
  10. Where to Learn Deep Learning - Courses, Tutorials, Software - May 26, 2014.

 
 

Most shared

  1. 10 things statistics taught us about big data analysis - Feb 10, 2015.
  2. Data Science's Most Used, Confused, and Abused JargonDeep Learning - Feb 10, 2015.
  3. Gartner 2015 Magic Quadrant for Advanced Analytics Platforms: who gained and who lost - Feb 23, 2015.
  4. History of Data Science Infographic in 5 strands - Feb 17, 2015.
  5. My Brief Guide to Big Data and Predictive Analytics for non-experts - Feb 12, 2015.
  6. Cartoon: Data Scientist gets 3 wishes for Valentine's Day - Feb 13, 2015.
  7. Avoiding a Common Mistake with Time Series - Feb 2, 2015.
  8. Top 30 people in Big Data and Analytics - Feb 9, 2015.
  9. Two Most Important Trends in Analytics and Big Data in 2015 - Feb 6, 2015.
  10. Automatic Statistician and the Profoundly Desired Automation for Data Science - Feb 17, 2015.